Application of Two Population Balance Models to Predicting Large Scale Multi-Size Bubbly Flow

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Application of Two Population Balance Models to Predicting Large Scale Multi-Size Bubbly Flow

更新时间：2025-07-09

- Application of Two Population Balance Models to Predicting Large Scale Multi-Size Bubbly Flow
- Vol. 45, Issue 12, Pages: 92-98(2011)
- 作者机构：
  
  1. 西安交通大学动力工程多相流国家重点实验室,西安,710049
  2. 墨尔本皇家理工大学航空、机械与制造学院,维多利亚,墨尔本,澳大利亚,3083
- 作者简介：
- 基金信息：
- DOI：
  CLC： TQ028.8
- Online First：10 December 2011，
  
  Published：2011
- 稿件说明：
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Application of Two Population Balance Models to Predicting Large Scale Multi-Size Bubbly Flow[J]. 2011, 45(12): 92-98.
DOI：

Application of Two Population Balance Models to Predicting Large Scale Multi-Size Bubbly Flow[J]. 2011, 45(12): 92-98. DOI：

摘要

为了研究大规模多粒径泡状流流动特性

考虑到气泡聚并、破裂等微观机制现象对气泡尺寸、数密度等宏观参量的影响

分别采用两种基于群体平衡方程的数学模型——群数密度传递(BNDT)模型与多气泡组质量传递(MUSIG)模型

对具有聚并主导趋势特征的多粒径气液泡状流实验MTLOOP进行数值模拟

并与实验进行了对比研究

结果发现:两种群体平衡模型均可以较准确地捕捉到多粒径泡状流中气泡尺寸变化趋势以及含气率分布特征转换

且预测精度相当; 与MUSIG模型相比

BNDT模型计算时间节省了1/20～1/10

因此更适用于火箭工程中大型气液泡状流的工程预测.

Abstract

Aiming at investigating fluid flowing behaviours in large scale multi-size bubbly flow

two population balance models

named Bubble Number Density Transfer(BNDT)model and Multi-Size-Group(MUSIG)model coupled with bubble coalescence and breakage mechanism respectively

are employed to simulate the MTLOOP(Multi-phase Loop)experiment with characteristics of coalescence dominating trends. In comparison to experimental data

both models are able to well capture the dynamic evolution trends of bubble diameter and transition of gas volume fraction distribution

but the computing period of BNDT gets shorter by 1/10～1/20 than that of MUSIG under the similar predictions

thus BNDT model is more appropriate for predicting large scale multi-size bubbly flow in rocket engineering.

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references

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